LEADER 00727nam0 2200253 450 001 9910766498503321 005 20231220155809.0 010 $a9788898672509 100 $a20231220d2019----km y0itay50 ba 101 0 $aita$alat 102 $aIT 105 $ay 001yy 200 1 $aDementi e insani$ela persecuzione delle memorie antiche$fa cura di Francesco Ingravalle 210 $aPadova$cEdizioni di Ar$d2019 215 $a129 p.$d22 cm 676 $a340.54$v23$zita 700 1$aIngravalle,$bFrancesco$0524082 801 0$aIT$bUNINA$gREICAT$2UNIMARC 901 $aBK 912 $a9910766498503321 952 $aIV ZR STUDI 102$b2021/349$fFGBC 959 $aFGBC 996 $aDementi e insani$93654003 997 $aUNINA LEADER 02327oam 2200505I 450 001 9910154883803321 005 20240501170131.0 010 $a1-315-35494-2 010 $a1-315-37214-2 010 $a1-4822-6073-5 024 7 $a10.1201/9781315372143 035 $a(CKB)4340000000018636 035 $a(MiAaPQ)EBC4751224 035 $a(OCoLC)966386388 035 $a(EXLCZ)994340000000018636 100 $a20180331h20172017 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aSmall area estimation and microsimulation modeling /$fAzizur Rahman, Charles Sturt University, Australia, Ann Harding, University of Canberra, Australia 205 $a1st ed. 210 1$aBoca Raton, Florida :$cCRC Press,$d[2017] 210 4$dİ2017 215 $a1 online resource (522 pages) $cillustrations 300 $aA Chapman and Hall book--title page. 311 08$a0-367-26126-X 311 08$a1-4822-6072-7 320 $aIncludes bibliographical references and index. 327 $a1. Introduction -- 2. Small area estimation -- 3. Indirect estimation : statistical approaches -- 4. Indirect estimation : geographic approaches -- 5. Bayesian prediction-based microdata simulation -- 6. Microsimulation modeling technology for small area estimation -- 7. Applications of the methodologies -- 8. Analysis of small area estimates in capital cities -- 9. Validation and measure of statistical reliability -- 10. Conclusions and computing codes. 330 $aThe book gathers information on the theories, applications, advantages, and limitations of all the small area estimation methodologies. It covers direct small area estimation methods, indirect statistical approaches, including empirical best linear unbiased prediction, empirical Bayes and hierarchical Bayes estimation methods. 606 $aSmall area statistics 606 $aStatistical machining 615 0$aSmall area statistics. 615 0$aStatistical machining. 676 $a519.544 700 $aRahman$b Azizur$0976286 702 $aHarding$b Ann$f1958- 801 0$bFlBoTFG 801 1$bFlBoTFG 906 $aBOOK 912 $a9910154883803321 996 $aSmall area estimation and microsimulation modeling$92223867 997 $aUNINA